Soft computing approaches to production line design
A. Baykasoglu. ICRM'2005 3rd International Conference on Responsive
Manufacturing, page 273--279. Guangzhou, China, (12-14 September 2005)
Abstract
Gene Expression Programming (GEP) is used to develop a
meta-model for the multiobjective design of a
hypothetical production line. The developed meta-model
is used to optimize production line design with
Multiple Objective Tabu Search algorithm (MOTS). It is
found out that GEP and MOTS can be effectively used to
solve production line design problems which are known
as complex design problems.
%0 Conference Paper
%1 Baykasoglu:2005:ICRM
%A Baykasoglu, Adil
%B ICRM'2005 3rd International Conference on Responsive
Manufacturing
%C Guangzhou, China
%D 2005
%E Gindy, Nabil
%K Expression Gene Manufacturing Programming, algorithms, computing design, genetic programming, soft system
%P 273--279
%T Soft computing approaches to production line design
%X Gene Expression Programming (GEP) is used to develop a
meta-model for the multiobjective design of a
hypothetical production line. The developed meta-model
is used to optimize production line design with
Multiple Objective Tabu Search algorithm (MOTS). It is
found out that GEP and MOTS can be effectively used to
solve production line design problems which are known
as complex design problems.
@inproceedings{Baykasoglu:2005:ICRM,
abstract = {Gene Expression Programming (GEP) is used to develop a
meta-model for the multiobjective design of a
hypothetical production line. The developed meta-model
is used to optimize production line design with
Multiple Objective Tabu Search algorithm (MOTS). It is
found out that GEP and MOTS can be effectively used to
solve production line design problems which are known
as complex design problems.},
added-at = {2008-06-19T17:35:00.000+0200},
address = {Guangzhou, China},
author = {Baykasoglu, Adil},
biburl = {https://www.bibsonomy.org/bibtex/2497aff8834ab7cd36c182e5eeb71ea7a/brazovayeye},
booktitle = {ICRM'2005 3rd International Conference on Responsive
Manufacturing},
editor = {Gindy, Nabil},
interhash = {6afbff8b22c5e74371b6ac515438bd8e},
intrahash = {497aff8834ab7cd36c182e5eeb71ea7a},
keywords = {Expression Gene Manufacturing Programming, algorithms, computing design, genetic programming, soft system},
month = {12-14 September},
notes = {http://www.icrm2005.org/ broken Nov 2005},
organisation = {University of Nottingham, Guangdong University of
Technology},
pages = {273--279},
timestamp = {2008-06-19T17:36:21.000+0200},
title = {Soft computing approaches to production line design},
year = 2005
}